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Episodic memory demands modulate novel metaphor use during event narration
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Multilingual and cross-lingual document classification: A meta-learning approach ...
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Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
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Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? ...
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Cross-neutralising: Probing for joint encoding of linguistic information in multilingual models ...
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Joint Modelling of Emotion and Abusive Language Detection ...
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What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties ...
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SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment
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Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension Using Distributional Semantic Models
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In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 231-246 (2020) (2020)
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Abstract:
Recent years have seen a growing interest within the natural language processing (NLP) community in evaluating the ability of semantic models to capture human meaning representation in the brain. Existing research has mainly focused on applying semantic models to decode brain activity patterns associated with the meaning of individual words, and, more recently, this approach has been extended to sentences and larger text fragments. Our work is the first to investigate metaphor processing in the brain in this context. We evaluate a range of semantic models (word embeddings, compositional, and visual models) in their ability to decode brain activity associated with reading of both literal and metaphoric sentences. Our results suggest that compositional models and word embeddings are able to capture differences in the processing of literal and metaphoric sentences, providing support for the idea that the literal meaning is not fully accessible during familiar metaphor comprehension.
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Keyword:
Computational linguistics. Natural language processing; P98-98.5
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URL: https://doi.org/10.1162/tacl_a_00307 https://doaj.org/article/be91d4a4ca444e2b97901460dfb883e3
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02425462 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2019, 45 (3), pp.559-601. ⟨10.1162/coli_a_00357⟩ ; https://www.mitpressjournals.org/doi/abs/10.1162/coli_a_00357 (2019)
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Learning Outside the Box: Discourse-level Features Improve Metaphor Identification. ...
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Abusive Language Detection with Graph Convolutional Networks ...
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A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings ...
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Learning Outside the Box: Discourse-level Features Improve Metaphor Identification ...
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Abusive Language Detection with Graph Convolutional Networks ...
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Tackling Online Abuse: A Survey of Automated Abuse Detection Methods ...
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing ...
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Learning Outside the Box: Discourse-level Features Improve Metaphor Identification.
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Abusive Language Detection with Graph Convolutional Networks
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